NOTE: The data and findings below are drafts subject to change and some pieces are still in the QA process.
RACE COUNTS provides a 3D view of racial equity:
OUTCOME: How
well people are doing. The higher the circle, the better the outcome.
DISPARITY: How racial groups compare to one another. The further
right the circle, the greater the differences by race.
IMPACT: The
total population. The bigger the circle, the larger the population.
Purple districts: Gains at
Risk;
Orange districts: Prosperity
for the Few;
Yellow districts:
Struggling to Prosper;
Red districts:
Stuck and Unequal.
1) “Other” race includes those who identify with a race outside
of the specifically named categories, such as Asian, White, etc.
2)
Race labels for bar charts: The “nh_” prefix signifies that a group
excludes Latinx.
3) The “twoormor” group represents those who
identify as Two or More Races.
Warning: Specifying width/height in layout() is now deprecated. Please specify in ggplotly() or plot_ly()Warning: Sum of bscol width units is greater than 12Warning: Ignoring 241 observationsWarning: Ignoring 241 observations>
Warning: Specifying width/height in layout() is now deprecated. Please specify in ggplotly() or plot_ly()Warning: Sum of bscol width units is greater than 12Warning: Ignoring 241 observationsWarning: Ignoring 241 observations>